Group items tagged

video footage / reference

A video gallery of top female tennis players - in slow motion.

A forum for and by technical artists in video-game development.

nice tutorial about how to easily read and interpret a 3×3 Matrix (incl. video).

FaceTracker is a C/C++ API for real time generic non-rigid face alignment and tracking. Goal: Non-rigid face alignment and tracking is a common problem in computer vision. It is the front-end to many algorithms that require registration, for example face and expression recognition. However, those working on algorithms for these higher level tasks are often unfamiliar with the tools and peculiarities regarding non-rigid registration (i.e. pure machine learning scientists, psychologists, etc.). Even those directly working on face alignment and tracking often find implementing an algorithm from published work to be a daunting task, not least because baseline code against which performance claims can be assessed does not exist. As such, the goal of FaceTracker is to provide source code and pre-trained models that can be used out-of-the-box, for the dual purpose of: 1. Promoting the advancement of higher level inference algorithms that require registration. 2. Providing baseline code to promote quantitative improvements in face registration. Features: * Real time: ranging from 20-30 fps (depending on processor, compiler and use of OpenMP) * Generic: designed to work for most people under most conditions * No training required: a pre-trained model is provided * Detection based initialisation: no user intervention required * Automatic failure detection: requires no user re-initialisation * Camera or video input

Thanks Maurizio for the link!

great human anatomy reference in videos

some rigging reference... ;-)

Hey I was just about to post that and beaten by you!

This robotic concept uses a braided mesh that can be continuously deformed to create smooth waves of motion. http://biorobots.cwru.edu/projects/softworm/

let's throw in some random stuff... ;-)

a bit rigging off-topic but hey... :) thanks to Gabriele for the link.

The Disney paper and video on "Efficient elasticity for character skinning with contact and collisions" is definitely worth a look. http://pages.cs.wisc.edu/~sifakis/projects.html

Kinda cool

it`s just interesting how he describes the vector deltas, which are basically just blendShape. And pushing nearest points by that amount is like usual wrap. I just wasn`t getting why there is custom ICE network, maybe I missed something :) btw. I really liked the short "dog-boy" animation this guy did

It's a bit different to a wrap, more a delta look up and transfer, not a bind to of one bit of geo to another. As such you're only transferring relative motion and can manipulate that in different ways.

there`s not much here, I just accidentaly found this old video. You can see some rigging presentation from DW in cut outs as she talks about Shrek. Puss in Boots is apparently the Shrek`s most complex character :) I see, so that`s why it`s got its own movie! :)) ---> http://youtu.be/yg_z0t_H26c

David Coleman - Creating QT interfaces for Maya and MotionBuilder This Masterclass will demonstrate the workflow of creating interfaces in QT Designer, and connecting them to functions within Maya and MotionBuilder. The basics of QT Designer will be covered, along with connecting sliders to drive facial blendshapes using the same interface for both Maya and MotionBuilder. Some techniques for procedurally creating QT widgets using PyQt will also be demonstrated.

Even though the human eye is one of the central features of individual appearance, its shape has so far been mostly approximated in our community with gross simplifications. In this paper we demonstrate that there is a lot of individuality to every eye, a fact that common practices for 3D eye generation do not consider. To faithfully reproduce all the intricacies of the human eye we propose a novel capture system that is capable of accurately reconstructing all the visible parts of the eye: the white sclera, the transparent cornea and the non-rigidly deforming colored iris. These components exhibit very different appearance properties and thus we propose a hybrid reconstruction method that addresses them individually while respecting their inter-dependencies. The result of our system is a complete model of both spatio-temporal shape and texture at an unprecedented level of detail. The captured eyes will not only enable the creation of more believable digital humans but have potential applications in fields other than computer graphics, such as ophthalmology. Finally, we believe that the findings of this paper will alter our community's current assumptions regarding human eyes, and our work has the potential to significantly impact the way that eyes will be modelled in the future.

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